Report: The State of Data Reconciliation
The State of Data Reconciliation report reveals the true cost of poor data quality and how firms are turning to new tools to conquer reconciliation challenges once and for all.
The State of Data Reconciliation: how firms are turning to new tools to conquer reconciliation challenges once and for all
Interest in machine learning and the benefits of intelligent data automation has shot up since the spread of COVID-19. The pandemic has added new pressures for financial services firms, who were already struggling to manage their data.
Financial data is vast and complex and becoming even more so. On-premise solutions lack the flexibility needed to meet these challenges.
Leaders are well aware of the cost of mixing these outdated legacy point solutions with spreadsheet-based manual reconciliations. They are losing time, money and even sleep due to poor data quality. The good news is that many firms have realised there is a solution at hand: automation.
Leaders are looking at machine learning with renewed interest. They are recognising that it has the potential to do much more than vanquish traditional reconciliation pains. Firms want to harness full automation to unlock greater agility for their organisations and gain a competitive advantage.
Our free, in-depth report reveals:
- Top fears holding firms back from unlocking the benefits of full automation
- The staggering percentage of leaders losing sleep over reconciliation
- The powerful desires and pain points driving firms to rapidly increase their use of machine learning
- How intelligent data automation (IDA) could have softened the data impact of the COVID-19 pandemic
Please contact the FinTech Futures team to get this free report.
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